Advanced Mission Display and Planning Tools (AMPT)

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-13-C-0023
Agency Tracking Number: N122-124-0011
Amount: $149,922.00
Phase: Phase I
Program: SBIR
Awards Year: 2013
Solicitation Year: 2012
Solicitation Topic Code: N122-124
Solicitation Number: 2012.2
Small Business Information
Charles River Analytics Inc.
MA, Cambridge, MA, 02138-4555
DUNS: 115243701
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Ryan Kilgore
 Principal Scientist
 (617) 491-3474
 rkilgore@cra.com
Business Contact
 Mark Felix
Title: Contracts Manager
Phone: (617) 491-3474
Email: mfelix@cra.com
Research Institution
 Stub
Abstract
Intuitive mission display visualization and planning capabilities are needed to enhance operator situation awareness when supervising teams of unmanned vehicles. To address this need, we will design and demonstrate Advanced Mission Display and Planning Tools (AMPT) to reduce the workload of re-planning and re-tasking teams of heterogeneous vehicles. These decision-support interfaces will use simple visual structures to convey complex behavior-shaping events that operators can intuitively perceive and efficiently respond to, thereby resulting in enhanced insight and direction of the planning tools. First, we will expand prior analyses of unmanned operations to characterize operators"need for observability and directability of automated planning tools. Second, we leverage this analysis to design: (1) ecological mission displays that enhance operator awareness of the relative efficacy of automated plans with respect to mission goals; and (2) advanced planning algorithms that incorporate both hard and soft constraints during mission re-planning and re-tasking. Finally, we will extend existing in-house planning algorithms, display tools, and simulation environments to rapidly prototype of AMPT mission display visualizations and planning component algorithms. We will use these prototypes to demonstrate and evaluate our approaches and to deeply explore the complexities of rapid re-planning and re-tasking of unmanned vehicles across complex domains.

* information listed above is at the time of submission.

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